The IoU is calculated by taking the intersection area of two bounding
boxes and dividing it by the union area of these boxes. In mathematical
terms, the IoU formula is expressed as follows:
This formula essentially quantifies the degree of overlap between the
predicted bounding box and the ground truth bounding box. It provides a
numerical value that indicates how well the model’s prediction aligns
with the actual object location. A higher IoU score indicates a better
match between the predicted and ground truth bounding boxes, signifying
superior localization accuracy.
12 Object Detection Evaluation
Intersection over Union (IoU):Intersection over Union (IoU), also known
as Jaccard’s Index, serves as a pivotal metric in the realm of computer
vision, particularly for tasks like object detection and segmentation.